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Field
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honours degree (2:1 with 65% average), or international equivalent, in Engineering, Computer Science, Physics or Mathematics with evidence of programming experience. Equality, diversity and inclusion is
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% average), or international equivalent, in Engineering, Computer Science, Physics or Mathematics with evidence of programming experience. Equality, diversity and inclusion is fundamental to the success
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science or engineering discipline, possibly supported by an MSc Degree. Further information on English language requirements for EU/Overseas applicants . Funding Tuition fees + stipend are available
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machine learning (applied to spatiotemporal data). International and UK applicants are both eligible to apply. Sponsor: This scholarship is funded by the UK Engineering and Physical Sciences Research
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*Home fee status applicants from a Law background are invited to apply* The Centre for Doctoral Training in Safe AI Systems (SAINTS CDT) is the UK’s first multidisciplinary PhD programme focused
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-class honours degree, or suitable postgraduate degree in computer science, human factors, psychology, social science or a health or social care related subject. Funding notes: This PhD scholarship is
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to the fields of synthetic biology, bio-derived materials, and bioinspired design. The outcomes of this research will provide a foundation for understanding and replicating natural mineralisation processes
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, and public engagement. The programme is designed to prepare graduates for careers in academia, industry, or clinical innovation. Key training features include enrolment in a leading UK doctoral
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research. The project will involve computational modelling using physics- and machine learning-based methods and would suit a top student with a background in Physics, Engineering, Mathematics or similar
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Advances in computing, experiments, and information will continue to reshape engineering in the next decade. This PhD position will nurture a multidisciplinary innovator with the tools to unravel